JP6044319B2 - Human resource search apparatus and program - Google Patents

Description

  The present invention relates to a human resource search apparatus and program for searching for human resources.

  2. Description of the Related Art Conventionally, a human resource search technique for searching for a human resource that matches a search condition by referring to personal information such as personal information such as a person's name and age, acquisition qualification, job history such as affiliation and position, etc. is known. Using this human resource search technology, we search for human resources that are useful for new businesses, or search for human resources that meet the recruitment conditions.

  As a human resource search technique, a human resource search system that searches a human resource that matches a search condition with reference to a profile database storing personnel information and presents the human resource information is known. For example, the multifaceted characteristics of human resources (techniques, operations, ease of communication, non-business activities, etc.) are collected and stored in the profile database, and characteristics related to accessibility (acquaintance information, personnel, etc.) There is known a human resource search system that presents information, related or experienced projects, and activity status other than business (see Patent Document 1).

JP 2005-327028 A

  However, the conventional human resource search system merely searches for human resources having information that matches the search conditions, such as specialized field = search.

  For this reason, there are multiple evaluation items when searching for human resources of similar types (human resources with similar qualities and skills) close to a specific model human resource such as high performers (human resources who exhibit excellent results). There was a risk that it would not be possible to search for human resources close to model human resources from a plurality of human resources. The evaluation item is an item indicating a characteristic for a single evaluation target among the characteristics of human resources. For example, for the first evaluation item, the value of the first human resource is closest to the value of the model human resource, but for the second evaluation item, the value of the second human resource is higher than that of the first human resource. When the values are close to each other, it may be impossible to determine which of the first and second human resources is closer to the model human resource.

  An object of the present invention is to make it possible to search for human resources whose score pattern composed of values of a plurality of evaluation items is close to model human resources.

The human resource search device of the present invention includes a storage means for storing a score pattern composed of values of a plurality of evaluation items indicating characteristics of evaluation targets of each human resource, a model human resource serving as a reference for human resource search, and a human resource. A specifying means for receiving specification of search condition information, and a degree of correlation deriving means for deriving a degree of correlation between the score pattern of the specified model person among the stored score patterns and the score pattern of the person to be searched And, according to the human resource search condition information, a human resource search unit that searches the human resources to be searched for human resources having a high degree of correlation of the derived score pattern and whose score pattern is close to the model human resource. Based on the output means for outputting the human resource information of the human resources, the area of the figure expressed based on the rating pattern of the model human resources, and the rating pattern of the human resources to be searched An area coincidence degree deriving unit for deriving an area coincidence degree with the area of the figure to be expressed, and the human resource search unit finds a human resource whose score pattern is close to the model human resource based on the derived area coincidence degree A search is made from the human resources to be searched .

  According to the present invention, it is possible to search for a human resource whose score pattern composed of a plurality of evaluation item values is close to a model human resource.

It is a block diagram which shows the human resource search system of embodiment of this invention. It is a block diagram which shows the function structure of a personnel search server. It is a block diagram which shows the function structure of a terminal device. (A) is a figure which shows the structure of a personnel information database. (B) is a figure which shows the structure of model personnel information. (A) is a radar chart showing a rating pattern of model human resources. (B) is a radar chart showing a score pattern of the first employee. (C) is a radar chart showing a score pattern of the second employee. (D) is a radar chart showing a third employee's score pattern. (E) is a radar chart which shows the 4th employee's rating pattern. (F) is a radar chart showing a fifth employee's rating pattern. It is a flowchart which shows the human resource search result display process performed with a terminal device. It is a figure which shows a personnel search condition designation | designated screen. It is a figure which shows a personnel search result display screen. It is a flowchart which shows the human resource search process performed with a human resource search server. (A) is a scatter diagram of a plurality of score items for a model human resource and a first employee. (B) is a scatter diagram of a plurality of score items for the model human resource and the second employee. (C) is a scatter diagram of a plurality of score items for a model human resource and a third employee. (D) is a scatter diagram of a plurality of score items for the model human resource and the fourth employee. (E) is a scatter diagram of a plurality of score items for a model human resource and a fifth employee.

  Embodiments according to the present invention will be described below in detail with reference to the accompanying drawings. The present invention is not limited to the illustrated example.

  An embodiment of the present invention will be described with reference to FIGS. First, the device configuration of the present embodiment will be described with reference to FIGS. FIG. 1 is a block diagram showing a human resource search system 1. FIG. 2 is a block diagram illustrating a functional configuration of the human resource search server 10. FIG. 3 is a block diagram illustrating a functional configuration of the terminal device 20.

  A human resource search system 1 shown in FIG. 1 is a system that searches for human resources whose patterns of evaluation items are close to model human resources and displays the human resource information. The human resource search system 1 is installed in a predetermined company (hereinafter referred to as company CO1) and is used for searching for human resources in the company CO1. However, it is not limited to this configuration.

  As shown in FIG. 1, the human resource search system 1 includes a human resource search server 10 as a human resource search device and a terminal device 20. The human resource search server 10 and the terminal device 20 are connected to each other via a communication network N.

  The human resource search server 10 searches for human resources whose value patterns (score patterns) of a plurality of evaluation items are close to the designated model human resources in accordance with the human resource search condition information input by the terminal device 20, and stores the human resource information in the terminal device 20 is a server device to be provided. The terminal device 20 is a terminal device such as a PC (Personal Computer) that accepts input of human resource search condition information and the like and displays human resource information received from the human resource search server 10.

  The communication network N is an intranet in the company CO1, but is not limited to this, and may be the Internet or the like. Further, the human resource search system 1 is configured to include one terminal device 20, but may be configured to include a plurality of terminal devices 20.

  Next, the internal functional configuration of the human resource search server 10 will be described with reference to FIG. As shown in FIG. 2, the human resource search server 10 includes a CPU (Central Processing Unit) 11, an operation unit 12, and a RAM (Random Access Memory) 13 as correlation degree calculation means, area coincidence degree calculation means, and human resource search means. And a display unit 14, a storage unit 15, and a communication unit 16 as a designation unit and an output unit. Each part of the human resource search server 10 is connected to each other via a bus 17.

  The CPU 11 controls each unit of the human resource search server 10. The CPU 11 reads a designated program out of the various programs from the storage unit 15 and expands it in the RAM 13 and executes various processes in cooperation with the expanded program.

  In accordance with the human resource search program 151, the CPU 11 receives specification input of model human resource designation information and human resource search condition information from the communication unit 16 via the terminal device 20, and stores the model human resource of the model human resource designation information stored in the storage unit 15. The degree of correlation and the area coincidence between the score pattern and the score pattern of the human resource to be searched are calculated. Then, the CPU 11 searches the search target human resources for human resources having a high degree of correlation and area coincidence of the calculated score patterns and close to the model human resources in accordance with the human resource search condition information. The human resource search result display screen information including the human resource information of the selected human resource is transmitted to the terminal device 20.

  The operation unit 12 includes a keyboard having keys for inputting various characters and the like, and outputs operation information corresponding to each key input to the CPU 11.

  The RAM 13 is a storage unit such as a volatile semiconductor memory, and has a work area for storing various data and various programs.

  The display unit 14 includes a display panel such as an LCD (Liquid Crystal Display) or an EL (ElectroLuminescent) display, and performs various displays on the display panel according to display information input from the CPU 11.

  The storage unit 15 is a storage unit that stores various data and various program information in a readable and writable manner, and includes a hard disk drive (HDD). The storage unit 15 stores a human resource search program 151, a human resource information database 30 described later, and model human resource information 40.

  The communication unit 16 includes a network card and transmits / receives information to / from the terminal device 20 as a device on the communication network N.

  Next, the internal functional configuration of the terminal device 20 will be described with reference to FIG. As illustrated in FIG. 3, the terminal device 20 includes a CPU 21, an operation unit 22, a RAM 23, a display unit 24, a storage unit 25, and a communication unit 26. Each unit of the terminal device 20 is connected to each other via a bus 27.

  The CPU 21, operation unit 22, RAM 23, display unit 24, storage unit 25, and communication unit 26 have the same configuration as the CPU 11, operation unit 12, RAM 13, display unit 14, storage unit 15, and communication unit 16 of the human resource search server 10. In order to avoid duplication of explanation, different configurations will be mainly described.

  In accordance with the human resource search result display program 251 stored in the storage unit 25, the CPU 21 displays a human resource search condition designation screen on the display unit 24 and accepts input of human resource search condition information and model human resource designation information via the operation unit 22. The communication unit 26 transmits the information to the human resource search server 10. The communication unit 26 receives the human resource search result display screen information from the human resource search server 10 and displays it on the display unit 24.

  The storage unit 25 stores a human resource search result display program 251. The communication unit 26 transmits and receives information to and from the human resource search server 10 as a device on the communication network N.

  Next, the configuration of information stored in the storage unit 15 of the human resource search server 10 will be described with reference to FIGS. 4 (a) and 4 (b). FIG. 4A is a diagram showing a configuration of the human resource information database 30. FIG. 4B is a diagram showing a configuration of the model human resource information 40.

  The personnel information database 30 is a database having personnel information of employees of the company CO1. As shown in FIG. 4A, the human resource information database 30 includes an employee number 31, a name 32, a affiliation 33, a post 34, a behavioral power 35, a command power 36, an autonomy 37, a sociality 38, a logical 39, and the like. Has a field.

  The employee number 31 is an identification number of an employee who belongs to the company CO1. The name 32 is the name of the employee with the employee number 31. As an example, it is assumed that employees whose names 32 are A, B, C, D, E, F. Hereinafter, employees whose names 32 are A, B, C, D, E, and F are referred to as employees A, B, C, D, E, and F.

  Affiliation 33 is a department name to which the employee of employee number 31 belongs. The post 34 is the post of the employee with the employee number 31.

  The action power 35 indicates the value of behavioral power as a characteristic of the employee of the employee number 31. The command power 36 indicates the value of the command power as a characteristic of the employee of the employee number 31. The autonomy 37 indicates a value of autonomy as a characteristic of the employee of the employee number 31. The social property 38 indicates a social property value as a characteristic of the employee of the employee number 31. The logic 39 indicates a logic value as a characteristic of the employee of the employee number 31.

  Administrative power 35, leadership 36, autonomy 37, sociality 38, and logic 39 are evaluation items for evaluating the characteristics of human resources. The value of each evaluation item shall be a value of 0-100 as an example. A pattern of values of all evaluation items (behavior 35, leadership 36, autonomy 37, sociality 38, logical 39) for each human resource is defined as a score pattern.

  The model human resource information 40 is human resource information of a model human resource as a fictitious human resource having an ideal score pattern for a predetermined position, role, and the like. As shown in FIG. 4B, the model human resource information 40 has fields of a model human resource name 41, an action power 42, a leadership power 43, an autonomy 44, a sociality 45, and a logic 46.

  The model human resource name 41 is a name for identifying a model human resource. The model personnel name 41 represents, for example, the characteristics of the model personnel. The behavioral power 42 indicates the value of the behavior of the model human resource with the model human resource name 41. The leadership 43 indicates the value of the leadership of the model personnel with the model personnel name 41. The autonomy 44 indicates the value of the autonomy of the model personnel with the model personnel name 41. The sociality 45 indicates the sociality value of the model human resource with the model human resource name 41. The logicality 46 indicates the logical value of the model human resource of the model human resource name 41.

  As the model human resource name 41, for example, a sales manager, a design / development / production manager, a planning manager, a manager, and a leader are prepared. The model human resource whose model human resource name 41 is the sales manager is an ideal value because the value of each evaluation item (behavior 42, leadership 43, autonomy 44, sociality 45, logical 46) is the sales manager. It is set to human resources who take The value of each evaluation item of the model human resource whose model human resource name 41 is the sales manager does not need to match the value of each evaluation item of the employee E who is the actual sales manager.

  In addition, model human resources whose model human resource name 41 is the design / development / production manager is a human resource who takes ideal values for each evaluation item because the value of each evaluation item is the design manager, development manager or production manager. Is set to In addition, the model human resource whose model human resource name 41 is a manager is set to a human resource in which the value of each evaluation item takes an ideal value as a manager regardless of the department or position. In addition, the model human resource whose model human resource name 41 is the leader is set to a human resource in which the value of each evaluation item takes an ideal value as a leader regardless of the department or position.

  Next, with reference to FIGS. 5A to 5F, the score pattern of each employee will be described. FIG. 5A is a radar chart showing a rating pattern of model human resources. FIG. 5B is a radar chart showing the score pattern of employee A. FIG. 5C is a radar chart showing the score pattern of employee B. FIG. 5D is a radar chart showing the score pattern of employee C. FIG. 5E is a radar chart showing the score pattern of employee D. FIG. 5F is a radar chart showing the rating pattern of employee E.

  Consider a case in which the design / development / production department manager is a model human resource, and among the employees A, B, C, D, and E whose affiliation 33 is the sales department, a human resource whose score pattern is close to the model human resource is searched. As shown in FIGS. 5A to 5F, the model human resources and the scores of each employee are represented by a pentagonal radar chart. However, in the radar chart, it may be difficult for the observer to visually determine which employee's rating pattern is close to the model personnel's rating pattern. In the present embodiment, the degree of the score pattern close to that of the model human resource is determined using the correlation degree of the score pattern for each employee and the area matching degree of the score pattern.

  The area of the rating pattern is the area in the area within the polygonal line connecting each rating in the radar chart. FIG. 5A shows score pattern areas AR1, AR2, AR3, AR4, and AR5. The area AR1 is an internal area of a triangle connecting the center point of the radar chart, the point indicating the value of action power, and the point indicating the value of command power. The area AR2 is a triangular inner area that connects the center point of the radar chart, the point indicating the value of leadership, and the point indicating the value of autonomy. The area AR3 is an internal area of a triangle that connects the center point of the radar chart, the point indicating the value of autonomy, and the point indicating the value of sociality. The area AR4 is an internal area of a triangle that connects the center point of the radar chart, the point indicating the social value, and the point indicating the logical value. The area AR5 is a triangular inner area that connects the center point of the radar chart, the point indicating the logical value, and the point indicating the value of the action power.

  The area of the score pattern is represented by the value of the area of the area AR1 + the area of the area AR2 + the area of the area AR3 + the area of the area AR4 + the area AR5. In addition, the arrangement order of the evaluation items of the radar charts in FIGS. 5A to 5F is basically fixed in the order of action power, leadership power, autonomy, sociality, and logic in the clockwise direction. It shall be.

  Next, the operation of the human resource search system 1 will be described with reference to FIGS. FIG. 6 is a flowchart showing human resource search result display processing executed by the terminal device 20. FIG. 7 is a diagram showing a human resource search condition designation screen 300. FIG. 8 is a diagram showing a human resource search result display screen 400. FIG. 9 is a flowchart showing a human resource search process executed by the human resource search server 10. FIG. 10A is a scatter diagram of a plurality of score items for the model human resource and the employee A. FIG. FIG. 10B is a scatter diagram of a plurality of score items for model human resources and employee B. FIG. 10C is a scatter diagram of a plurality of score items for the model human resource and the employee C. FIG. 10D is a scatter diagram of a plurality of score items for the model human resource and the employee D. FIG. 10E is a scatter diagram of a plurality of score items for the model human resource and the employee E.

  With reference to FIGS. 6-8, the human resource search result display process performed with the terminal device 20 is demonstrated. In the terminal device 20, the CPU 21 uses the storage unit 25 as a trigger when an instruction to execute a human resource search result display process is input by a user such as a personnel officer of the company CO 1 or a manager employee through the operation unit 22. The human resource search result display process is executed in cooperation with the human resource search result display program 251 that is read from the program and expanded as appropriate in the RAM 23.

  As shown in FIG. 6, first, the CPU 21 performs communication access to the human resource search server 10 through the communication unit 26, and transmits a request for human resource search condition designation screen information to the human resource search server 10 (step S <b> 11). Then, the CPU 21 receives the human resource search condition designation screen information from the human resource search server 10 via the communication unit 26 and displays the human resource search condition designation screen corresponding to the human resource search condition designation screen information on the display unit 24 (step 24). S12).

  With reference to FIG. 7, a human resource search condition designation screen 300 will be described as a screen example displayed in step S12. The personnel search condition designation screen 300 includes a target range designation unit 310, a search result number designation unit 320, a model personnel designation unit 330, a determination process designation unit 340, and an OK button 350.

  The target range designation unit 310 is an input region that accepts designation input of a department as a search target range of human resources whose score patterns are close to model human resources. In the target range designation unit 310, designation input can be performed by at least one check box of the sales department, the design department, the development department, the production department, the planning department, and the general affairs department.

  The search result number designation unit 320 is an input area for receiving designation input of the number of human resource information (number of human resource searches) to be displayed as the human resource search result among the human resources in the search target range on the human resource search result display screen. In the search result number designation section 320, designation input can be performed by any one radio button of 1, 3, 5, 10, or all.

  The model human resource designation unit 330 is an input area for accepting a model human resource designation input. In the model human resource designation unit 330, as a model human resource, designation input can be performed by using one of the radio buttons of a sales department manager, a design / development / production department manager, a planning department manager, a manager, and a leader.

  The determination process designating unit 340 is an input area that accepts a designation input of the content of the determination process of a human resource whose score pattern is close to the model human resource. In the determination processing designation unit 340, only the correlation degree determination can be designated and input by any one radio button of the correlation degree + area (coincidence degree) determination. In addition, when the correlation level + area determination is specified and input, the determination process specifying unit 340 directly inputs a numerical value of the condition of the correlation level (the lower limit of the correlation level when the rating pattern is close) and item reordering. It is possible to perform designation input using radio buttons as to whether or not to perform area determination. Only the correlation degree determination is a process of determining a human resource as a search result using only the correlation degree of the score pattern. Correlation degree + area determination is a process for determining a human resource as a search result using the correlation degree and area coincidence degree of the rating pattern. The area determination by item rearrangement will be described later.

  The OK button 350 accepts a press input of a human resource search execution instruction based on the designation information input by the target range designation unit 310, the search result number designation unit 320, the model human resource designation unit 330, and the determination process designation unit 340. The designation information input by the target range designation unit 310, the search result number designation unit 320, and the determination process designation unit 340 is the human resource search condition information, and the designation information input by the model human resource designation unit 330 is the model human resource designation information.

  Returning to FIG. 6, the CPU 21 accepts input of personnel search condition information and model personnel specification information corresponding to the personnel search condition specification screen 300 via the operation unit 22 (step S <b> 13). Then, the CPU 21 determines whether or not to execute the human resource search according to whether or not the OK button 350 is pressed through the operation unit 22 (step S14). When the human resource search is not executed (step S14; NO), the process proceeds to step S13.

  When executing the human resource search (step S14; YES), the CPU 21 transmits the human resource search condition information and the model human resource designation information input in step S13 to the human resource search server 10 via the communication unit 26 (step S15). .

  Then, the CPU 21 receives the human resource search result display screen information from the human resource search server 10 via the communication unit 26, and displays the human resource search result display screen corresponding to the human resource search result display screen information on the display unit 24 ( Step S16).

  With reference to FIG. 8, a human resource search result display screen 400 will be described as an example of a screen displayed in step S16. The human resource search result display screen 400 includes a designation information unit 410, a human resource search result unit 420, a model human resource designation unit 330, a re-search button 430, and an OK button 440.

  The designation information unit 410 is a display area for the personnel search condition information and the model personnel designation information input in step S13. The human resource search result section 420 includes human resource information (name, radar chart of each rating pattern, correlation degree, human resource information of a human resource whose score pattern is close to that of the model human resource as a search result searched according to the human resource search condition information and the model human resource designation information. This is a display area of (area coincidence). The radar chart of the human resource search result section 420 also includes a model human resource score pattern.

  The re-search button 430 is a button for pressing and inputting a human resource re-search execution. The OK button 440 is a button for pressing down the display end of the personnel search result display screen 400.

  Then, the CPU 21 determines whether or not to execute the re-search according to whether or not the re-search button 430 is pressed through the operation unit 22 (step S17). When the re-search is executed (step S17; YES), the process proceeds to step S11. When the re-search is not executed (step S17; NO), the CPU 21 determines whether or not to end the display of the human resource search result display screen depending on whether or not the OK button 440 is pressed through the operation unit 22 (step S17). S18). When the display of the human resource search result display screen is not finished (step S18; NO), the process proceeds to step S16. When the display of the human resource search result display screen is ended (step S18; YES), the human resource search result display process ends.

  Next, a human resource search process executed by the human resource search server 10 will be described with reference to FIG. In the human resource search server 10, in response to step S 11 of the human resource search result display process, the CPU 11 receives the request for the human resource search condition designation screen information from the terminal device 20 by the communication unit 16 as a trigger. A human resource search process is executed in cooperation with the human resource search program 151 that has been read and appropriately loaded in the RAM 13.

  First, in response to step S12 of the human resource search result display process, the CPU 11 generates human resource search condition designation screen information and transmits it to the terminal device 20 by the communication unit 16 (step S21). And CPU11 discriminate | determines whether the communication part 16 received personnel search condition information and model personnel designation information from the terminal device 20 corresponding to step S15 of a personnel search result display process (step S22). When the personnel search condition information and the model personnel designation information are not received (step S22; NO), the process proceeds to step S22.

  When the human resource search condition information and the model human resource designation information are received (step S22; YES), the CPU 11 reads out the human resource information database 30 and the model human resource information 40 from the storage unit 15 and receives them in step S22 of the model human resource information 40. The degree of correlation between the model human resource score pattern corresponding to the model human resource designation information and the human resource score pattern in the search target range of the human resource search condition information received in step S22 of the human resource information database 30 is calculated. (Step S23).

  With reference to FIGS. 10A to 10E, the calculation of the correlation degree in step S23 will be described. Assume that the case of calculating the correlation between the rating pattern of the model human resources who is the manager of the design / development / production department and the rating pattern of the employees A, B, C, D, and E whose search target range is the sales department. The value of the rating item of the rating pattern is read from the values of the behavioral power 35, the leadership 36, the autonomy 37, the sociality 38, and the logical 39 of the target employee record in the human resource information database 30.

In FIG. 10A, the horizontal axis (x-axis) is the value of each evaluation item of the model human resource, and the vertical axis (y-axis) is the point where the value of each evaluation item of the employee A is plotted. Further, in FIG. 10 (a), a regression curve of each evaluation item in the model personnel and employees A, and wherein the XY plane of the regression curve, a relative degree of R ^2, is included. A data string composed of numerical values of two sets of evaluation items corresponding to two human resources of a model human resource and an employee to be compared is represented as (x, y) = {(x _i , y _i )} (i = 1, 2, .., N), the relative degree R ² is expressed by the following equation (1). However, n is the number of evaluation items (here, 5), and x bar and y bar are arithmetic averages of data x = {x _i } and y = {y _i }, respectively.

Relative degree R ² takes a value from 0 to 1, the more the value approaches 1, the shape of the score pattern on the radar chart employee A comparison, indicating that the closer to the shape of the score pattern model personnel. The scatter diagrams of FIGS. 10B to 10E are obtained by replacing the employee A as a comparison target of the scatter diagram of FIG. 10A with employees B, C, D, and E, respectively.

  Returning to FIG. 9, the CPU 11 refers to the human resource search condition information and determines whether or not to perform area determination (step S24). When the area determination is performed (step S24; YES), the CPU 11 determines the area of the score pattern on the radar chart of the model person according to the model person designation information and the area of the score pattern of the person in the search target range of the person search condition information. And the area coincidence between the area corresponding to the model human resource and the area corresponding to the comparison target employee is calculated (step S25).

Here, a method for calculating the area of the rating pattern on the radar chart will be described with reference to FIG. The area of the score pattern is the total value of the areas of the five regions AR1, AR2, AR3, AR4, AR5. The area of each region is calculated by the following equation (2). However, j = 1, 2, 3, 4, and 5.
ARj area = (value of the evaluation item of the first axis that is one side of ARj) × (value of the evaluation item of the second axis that is one side of ARj) × sin (between the first and second axes) Corner) / 2 ... (2)

  For example, the area of AR1 = (value of action power) × (value of command power) × sin 72 ° / 2. For the model human resource, the total value of the area of AR1 to the area of AR5 is calculated and used as the area of the model human resource score pattern. Then, the areas of the rating patterns of the employees A to E are calculated in the same manner.

Model human resources (design / development / production manager), the value of each evaluation item of the score patterns of A to E, the area of the areas AR1 to AR5 inside the polygon of the score pattern, and the total value of the areas of the areas AR1 to AR5 Is expressed in the following Table 1.

The area matching degree [%] of the score patterns of the employees A to E to be compared is calculated by the following equation (3).
Area coincidence = (Area of score pattern of human resources to be compared) / (Area of score pattern of model human resources) (3)

The degree of correlation R ² of the score patterns of employees A to E, the area of the score pattern, and the degree of area coincidence of the score patterns are summarized in Table 2 below.

Returning to FIG. 9, after step S25 is executed or when area determination is not performed (step S24; NO), the CPU 11 correlates the human resource search condition information with the score pattern of each search target employee calculated in step S23. Based on R ² and the degree of area coincidence inside the polygon of the score pattern of each search target employee calculated in step S25, a human resource whose score pattern is close to the model human resource is determined as a search result (step S26). ). That is, in step S26, human resources having a score pattern close to the model human resources are searched from the human resources to be searched. In step S26, in accordance with the designation information determination processing of information retrieval in information retrieval condition information, for example, in the correlation degree R ² predetermined specified value (lower limit) or more, the number of search results in a higher area coincidence degree forward personnel Is determined. In the case of determining human resources using only the correlation degree, for example, human resources having the number of search results in descending order of the correlation degree are determined.

Then, the CPU 11 stores the model human resource designation information, the human resource search condition information, and the score pattern correlation R ² calculated in step S24 and the area coincidence calculated in step S25 for the human resources determined in step S26. Based on the above, the human resource search result display screen information is generated and transmitted to the terminal device 20 via the communication unit 16 (step S27), and the human resource search process is terminated.

  A human resource search result display screen 400 shown in FIG. 8 will be described as a specific example of the human resource search result display screen of the human resource search result display screen information generated in step S25. In the specified information section 410 of the human resource search result display screen 400, the target range of the human resource search is the sales department based on the model human resource designation information and the human resource search condition information, the model human resource is the design / development / production manager, and the number of search results is It is assumed that there are three cases, the determination processing designation is a correlation degree of 0.8 or more, and the area determination by item rearrangement is not performed.

Of Human information database 30, among affiliation 33 employees A~E operating unit, the correlation degree ^{R 2} is 0.8 or more employees are employees B, C, E. In the human resource search result section 420, the human resource information of the three employees E, B, and C, which is the same as the number of search results, is displayed in descending order of the area coincidence. The employee human resource information displayed in the human resource search result section 420 includes the name of the employee, a radar chart of the evaluation pattern of the employee and the model human resource, the area coincidence of the employee, and the correlation of the employee. .

  Here, an example in which the area determination by item rearrangement is designated in the personnel search condition information will be described. Item reordering means, for example, in the score pattern at the time of area calculation, the evaluation items of model human resources are rearranged so that as large values as possible are arranged close to each other based on the largest value, and comparison of each employee to be compared This is a process of rearranging the evaluation items in the order of the evaluation items of the model human resources. Area determination by item rearrangement is a process of determining a human resource as a search result using an area coincidence corresponding to the area of the score pattern after rearranging the score items.

Here, in order to simplify the explanation, the model human resources and employees a and b shown in Table 3 below are considered. Incidentally, the model personnel, employees a, correlation R ² of b is assumed to be the same value.

Table 3 shows the values of the evaluation items in the score pattern when the items of the model human resources and employees a and b are not rearranged, the areas of the areas AR1 to AR5 of the radar chart, and the total values of the areas of the areas AR1 to AR5. It has an area matching degree, a correlation R ^2. In Table 3, as in FIG. 5A, the evaluation items on the radar chart are arranged in the order of action power, leadership power, autonomy, sociality, and logic.

When the items are rearranged, the evaluation items are rearranged in step S24 of the human resource search process, and the area and the degree of area coincidence are calculated. Table 4 shows the values of the model human resources and employees a and b after the item rearrangement.

Table 4 shows the correlation between the value of the evaluation item after the rearrangement of the model human resources and employees a and b, the area of the radar chart areas AR1 to AR5, the total area of the areas AR1 to AR5, and the degree of area coincidence. and a degree ^{R 2.} In Table 4, the evaluation items on the radar chart are arranged in the order of action power, independence, leadership, sociality, and logic.

  When the items are not rearranged, the area coincidence is greater for employee a than for employee b. When the items are rearranged, the value of the employee b is larger than the value of the employee a. When the items are rearranged, the value of the evaluation item of the strength (strong score, score having a large value) of the model human resource is more reflected in the area and the area matching degree.

  As described above, according to the present embodiment, the human resource search server 10 stores the human resource information database 30 and the model human resource information 40 in the storage unit 15. Then, the CPU 11 receives the designation input of the model human resource designation information and the human resource search condition information by the communication unit 16 via the terminal device 20, and the model human resource score pattern of the model human resource designation information and the score pattern of the human resource to be searched Is read from the storage unit 15 and the degree of correlation between the model human resource score pattern and the search target human resource score pattern is calculated. Then, the CPU 11 searches the search target human resources for human resources having a high correlation degree of the calculated score pattern and close to the model human resources in accordance with the human resource search condition information. Outputs personnel search result display screen information including personnel information.

  For this reason, the degree of correlation between the score pattern of the person designated as the model person and the score pattern of the person stored in the person information database 30 is calculated. It is possible to search for human resources close to, and output human resource information of the searched human resources. In particular, by enabling the extraction of human resources having a high degree of correlation with model human resources, it is possible to search for human resources of the same type as the high performers and human resource images required as a company. For example, employees who are likely to become successors of excellent managers can be found when they are young, and by receiving necessary training and education, efficient manager training and early manager training Can be realized.

  In addition, the CPU 11 calculates the area and area coincidence between the model human resource score pattern and the search target human resource score pattern, and the calculated correlation and area coincidence are high, and the score pattern is close to the model human resource. Search for human resources from human resources to be searched. For this reason, it is possible to search for suitable human resources whose rating pattern types and evaluation item values are close to model human resources.

  The specification of the lower limit of the correlation degree of the rating pattern is received by the communication unit 16 via the terminal device 20, and the CPU 11 scores the model human resources in descending order of the correlation degree and the area matching degree is high. Search for people with similar patterns. For this reason, it is possible to search for an appropriate human resource whose correlation degree is equal to or higher than the lower limit and whose area coincidence is high and whose score pattern is close to the model human resource.

  In addition, the communication unit 16 accepts designation of item rearrangement of the evaluation items of the score pattern so that the score items having a high value of the model human resource pattern pattern are close to each other via the terminal device 20, and the CPU 11 designates item rearrangement. Accordingly, the score items of the model human resource score pattern and the human resource search target human resource score pattern are rearranged to calculate the area of each score pattern and the area once. For this reason, the evaluation items of the strengths of the model personnel can be reflected more in the area and the degree of area coincidence, and it is possible to search for personnel with similar score patterns with emphasis on the strengths of the model personnel.

  Also, designation of the number of human resources search (number of search results) is accepted by the communication unit 16 via the terminal device 20, and the CPU 11 searches for human resources having the designated human resource search number that has a rating pattern close to the model human resources. For this reason, a desired appropriate number of human resources can be searched.

  In addition, the designation of the search target range is received by the communication unit 16 via the terminal device 20, and the CPU 11 searches for human resources having a rating pattern close to the model human resources from the human resources in the specified search target range. For this reason, human resources can be searched from a desired appropriate search target range.

  In addition, the CPU 11 transmits the human resource information of the searched human resources to the terminal device 20 through the communication unit 16. Therefore, the human resource information of the searched human resources can be used (referenced) in the terminal device 20 different from the human resource search server 10.

In the above description, an example in which the storage unit 15 (hard disk) is used as a computer-readable medium of the program according to the present invention is disclosed, but the present invention is not limited to this example.
As other computer-readable media, a non-volatile memory such as a flash memory and a portable recording medium such as a CD-ROM can be applied.
A carrier wave is also applied to the present invention as a medium for providing program data according to the present invention via a communication line.

  The description in the above embodiment is an example of the human resource search apparatus and program according to the present invention, and the present invention is not limited to this.

For example, in the configuration of the above embodiment, the evaluation item may be weighted. Here, the configuration for weighting the evaluation items when calculating the degree of area coincidence between the model human resources in Table 3 and the employees a and b will be described using Table 5 below.

  For example, in the terminal device 20, weighting information for increasing the weight of behavior and sociality among all the evaluation items is specified as the human resource search condition information when calculating the area coincidence by operation input through the operation unit 22 by the user. Shall be. Then, in the human resource search server 10, when calculating the area of the rating pattern, as shown in Table 5, the weighting coefficient (here, 3) is multiplied by the value of the rating item that increases the weight. Then, the area coincidence degree is calculated using a score pattern reflecting weighting. In the case of Table 3 in which weighting is not performed, the area coincidence is greater for employee a than for employee b. However, in the case of Table 5 reflecting weighting, the value of the employee b is larger than the value of the employee a. The weighting coefficient may be a value of 1 to 0 normalized according to the weighting degree for each evaluation item, and the value of each evaluation item may be multiplied by the weighting coefficient.

  In this manner, the communication unit 16 receives the designation of the weighting information for each score item of the score pattern via the terminal device 20, and the CPU 11 determines the score pattern of the model personnel and the personnel search target personnel according to the weighting information. The area and the degree of area coincidence with the rating pattern are calculated. For this reason, it is possible to search for human resources that are close to model human resources, with an emphasis on score items with a high degree of weighting.

In addition, the following table 6 will be used to describe a configuration in which the evaluation items are weighted when calculating the degree of correlation between the model personnel in Table 6 and the employees a and b.

  For example, in the terminal device 20, information that increases the weight of behavioral power, autonomy, and sociality among all evaluation items is set as the human resource search condition information by the operation input by the user through the operation unit 22 among the evaluation items. It shall be assumed. Then, in the human resource search server 10, when calculating the correlation degree of the rating pattern, as shown in Table 6, the correlation degree is calculated using only values of behavioral power, autonomy and sociality. In the case of Table 3 without weighting, the value of the employee a is greater than the value of the employee b. However, in the case of Table 6 that reflects weighting, the degree of correlation is such that the value of employee b is greater than the value of employee a.

  In this way, in calculating the correlation degree and the area coincidence degree, by weighting the evaluation items, it is possible to search for human resources whose rating pattern is close to the model human resources with an emphasis on the evaluation items having a higher degree of weighting.

  In the human resource search result display screen 400 of FIG. 8 of the above embodiment, the human resource search result section 420 displays, as human resource information of the searched human resource, the name, area matching degree, correlation degree, the human resource and the model human resource. Although the radar chart is provided, the present invention is not limited to this. The evaluation items may be other items. For example, the human resource information of the searched human resources may have other information such as department name, qualification, job title, job type, job title, gender, and the like.

  In the above embodiment, the human resource search server 10 uses the model human resource information 40 to search for human resources whose score pattern is close to a fictitious model human resource. However, the present invention is not limited to this. The human resource search server 10 may be configured to use the human resource information database 30 to search for human resources whose score pattern is close to an actual model human resource. For example, when the sales manager is designated as the model human resource by the user, the value of the evaluation item of the employee E who is the actual sales manager of the human resource information database 30 may be used as the rating pattern of the model human resource. Further, for example, when the design manager, development manager and production manager are designated as model human resources by the user, the average value of the evaluation item values of the employees of the actual design manager, development manager and production manager in the human resource information database 30 However, it is good also as a structure used as a rating pattern of a model human resource.

  In the above embodiment, the target range specifying unit 310 in the human resource search condition specifying screen 300 is configured to specify a department as a search target range. However, the present invention is not limited to this. For example, on the human resource search condition designation screen, other information such as qualification, job title, job type, job title, and gender may be designated as a search target range.

  Moreover, in the said embodiment, although the evaluation item was action power, leadership power, autonomy, sociality, and logic, it is not limited to this. The evaluation items may be other items. Also, the number of evaluation items may be a plurality of items other than five.

  Further, in the above embodiment, only the correlation degree is determined as a human resource determination, or the number of human resources corresponding to a designated number having a higher degree of area matching is determined, but the present invention is not limited to this. . For example, human resources may be determined including the result of a relative comparison of score patterns between employees.

  Moreover, in the said embodiment, although it was set as the structure which calculates the area inside the broken line of the rating pattern on a radar chart, and calculates | requires the area coincidence, it is not limited to this. For example, in the two-dimensional graph of the score pattern in which each score item is arranged at a predetermined interval on the horizontal axis and the value of the score item is plotted on the vertical axis, the integrated value of the score pattern (the area under the score pattern) is scored It is good also as a structure which calculates as an area of a pattern and calculates the area coincidence.

  In the above embodiment, the terminal device 20 performs the human resource search result display process and the human resource search server 10 performs the human resource search process. However, the present invention is not limited to this. The human resource search server 10 as one human resource search device may be configured to perform processes similar to the human resource search result display process and the human resource search result display process. In the human resource search server 10, the CPU 11 searches for human resources whose score pattern is close to the model human resources according to the model human resource designation information and the human resource search condition information input via the operation unit 12, and uses the human resource information of the searched human resources. The human resource search result display screen including this is displayed on the display unit 14. For this reason, a single human resource search server 10 can search for human resources whose score pattern is close to the model human resource and display the human resource information.

  Moreover, it is needless to say that the detailed configuration and detailed operation of each component of the human resource search system 1 in the above embodiment can be changed as appropriate without departing from the spirit of the present invention.

Although the embodiments of the present invention have been described, the scope of the present invention is not limited to the above-described embodiments, but includes the scope of the invention described in the claims and the equivalents thereof.
The invention described in the scope of claims attached to the application of this application will be added below. The item numbers of the claims described in the appendix are as set forth in the claims attached to the application of this application.
[Appendix]
<Claim 1>
For a plurality of human resources, storage means for storing a score pattern composed of values of a plurality of evaluation items indicating characteristics of evaluation targets of each human resource,
A specification means for accepting designation of a model human resource serving as a reference for human resource search and human resource search condition information;
Correlation degree calculating means for calculating a correlation degree between the specified model human resource score pattern and the search target human resource score pattern among the stored score patterns;
According to the human resource search condition information, human resource search means for searching the human resources to be searched for human resources whose correlation degree of the calculated score pattern is high and whose score pattern is close to the model human resource,
Output means for outputting human resource information of the searched human resources;
A human resource search device comprising:
<Claim 2>
An area coincidence degree calculating means for calculating an area and an area coincidence degree of the model human resource score pattern and the search target human resource score pattern;
The human resource search device according to claim 1, wherein the human resource search unit searches the human resources to be searched for human resources having a high degree of correlation and area coincidence and having a rating pattern close to the model human resource.
<Claim 3>
The designation means accepts designation of a lower limit of the correlation degree of the score pattern as the human resource search condition information,
The human resource search device according to claim 2, wherein the human resource search means searches for human resources whose score pattern is close to the model human resource in descending order of the correlation degree that is equal to or higher than the specified lower limit and the area matching degree is high.
<Claim 4>
The designation means accepts, as the human resource search condition information, an item rearrangement designation for rearranging the score items of the score pattern so that the score items having high score pattern values of the model human resources are arranged close to each other when the area is calculated. ,
The area coincidence calculation means rearranges the score items of the model human resource score pattern and the search target human resource score pattern according to the designation of the item rearrangement, and calculates the area and the area coincidence of each score pattern. The human resource search device according to claim 2 or 3 to be calculated.
<Claim 5>
The designation means accepts designation of weighting information of each score item of the score pattern as the human resource search condition information,
The correlation degree calculating means calculates a correlation degree between the model human resource score pattern and the search target human resource score pattern according to the weighting information,
5. The area coincidence calculation unit calculates an area and an area coincidence between the model human resource score pattern and the search target human resource score pattern in accordance with the weighting information. The human resource search device described in 1.
<Claim 6>
The designation means accepts designation of the number of personnel searches as the personnel search condition information,
6. The human resource search device according to claim 1, wherein the human resource search unit searches for human resources having the designated human resource search number whose score pattern is close to the model human resource. 7.
<Claim 7>
The designation means accepts designation of a search target range as the human resource search condition information,
The personnel search device according to any one of claims 1 to 6, wherein the personnel search means searches for personnel who have a rating pattern close to the model personnel from the specified search target range.
<Claim 8>
The human resource search device according to any one of claims 1 to 7, wherein the output unit is a transmission unit that transmits human resource information of the searched human resource to a terminal device.
<Claim 9>
The human resource search device according to claim 1, wherein the output unit is a display unit that displays human resource information of the searched human resources.
<Claim 10>
Computer
Storage means for storing a score pattern composed of values of a plurality of evaluation items indicating characteristics of evaluation targets of each human resource for a plurality of human resources;
A designation means for accepting designation of a model human resource serving as a reference for human resource search and human resource search condition information;
Correlation degree calculating means for calculating a correlation degree between the specified model personnel score pattern and the search target personnel score pattern among the stored score patterns;
Human resource search means for searching, from the human resources to be searched, human resources whose correlation degree of the calculated score pattern is high and whose score pattern is close to the model human resource according to the human resource search condition information,
Output means for outputting human resource information of the searched human resources;
Program to function as.

1 Human Resource Search System 10 Human Resource Search Server 11 CPU
12 Operation unit 13 RAM
14 Display unit 15 Storage unit 16 Communication unit 17 Bus 20 Terminal device 21 CPU
22 Operation unit 23 RAM
24 display unit 25 storage unit 26 communication unit 27 bus N communication network

Claims (9)

For a plurality of human resources, storage means for storing a score pattern composed of values of a plurality of evaluation items indicating characteristics of evaluation targets of each human resource,
A specification means for accepting designation of a model human resource serving as a reference for human resource search and human resource search condition information;
Correlation degree deriving means for deriving a degree of correlation between the specified model human resource score pattern and the search target human resource score pattern among the stored score patterns;
According to the human resource search condition information, a human resource search means for searching the human resources to be searched for human resources whose correlation degree of the derived score pattern is high and whose score pattern is close to the model human resource,
Output means for outputting human resource information of the searched human resources;
An area coincidence degree derivation means for deriving an area coincidence degree between the area of the figure expressed based on the score pattern of the model human resource and the area of the graphic represented based on the score pattern of the human resource to be searched;
With
The human resource search unit is a human resource search device that searches the human resources to be searched for human resources whose score pattern is close to the model human resources based on the derived area coincidence . The designation means accepts designation of a lower limit of the correlation degree of the score pattern as the human resource search condition information,
The human resource search device according to claim 1 , wherein the human resource search unit searches for human resources whose rating pattern is close to the model human resource in descending order of the correlation degree that is equal to or greater than the specified lower limit and the degree of area matching. It said designation means, as the information retrieval condition information, accepts the designation of sorting items shuffle play scores item scores pattern as the value of the score pattern of said model personnel high score item together are arranged close,
The area coincidence degree deriving means rearranges the score items of the model human resource score pattern and the search target human resource score pattern in accordance with the item rearrangement designation, and expresses them based on the model human resource score pattern. information retrieval apparatus according to claim 1 or 2 derives the area coincidence degree between the area of a figure represented on the basis of the score pattern area and the search target personnel figure being. The designation means accepts designation of weighting information of each score item of the score pattern as the human resource search condition information,
The correlation deriving means in response to said weighting information, to derive the correlation between the model human scores pattern and the searched personnel scores pattern,
The area matching degree derivation means, in accordance with the weighting information, and the area of a figure represented on the basis of the score pattern area of the figure and the search target personnel expressed on the basis of the score pattern of said model human The personnel search apparatus according to any one of claims 1 to 3 , wherein an area coincidence degree is derived . The designation means accepts designation of the number of personnel searches as the personnel search condition information,
It said information retrieval means, information retrieval apparatus according to claims 1 to score pattern searches the specified information retrieval number of personnel close to the model human in any one of four. The designation means accepts designation of a search target range as the human resource search condition information,
The personnel search device according to any one of claims 1 to 5 , wherein the personnel search means searches for personnel who have a rating pattern close to the model personnel from the specified search target range. The human resource search device according to any one of claims 1 to 6 , wherein the output unit is a transmission unit that transmits human resource information of the searched human resource to a terminal device. The human resource search device according to any one of claims 1 to 6 , wherein the output unit is a display unit that displays human resource information of the searched human resources. Computer
Storage means for storing a score pattern composed of values of a plurality of evaluation items indicating characteristics of evaluation targets of each human resource for a plurality of human resources;
A designation means for accepting designation of a model human resource serving as a reference for human resource search and human resource search condition information;
Correlation degree deriving means for deriving a degree of correlation between the specified model human resource score pattern and the search target human resource score pattern among the stored score patterns;
Human resource search means for searching, from the human resources to be searched, human resources having a high correlation degree of the derived score pattern and having a score pattern close to the model human resource according to the human resource search condition information,
Output means for outputting human resource information of the searched human resources;
Area coincidence deriving means for deriving an area coincidence between the area of the figure expressed based on the score pattern of the model human resource and the area of the graphic represented based on the score pattern of the human resource to be searched;
Function as
The human resource search unit is a program for causing a human resource to be searched to search for a human resource whose score pattern is close to the model human resource based on the derived area coincidence .

Images